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tensorflow data augmentation

data_augmentation = tf.keras.Sequential([
    layers.RandomRotation(0.2),
    layers.RandomFlip('horizontal_and_vertical'),
])

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tensorflow data augmentation

IMG_SIZE = 180resize_and_rescale = tf.keras.Sequential([  layers.experimental.preprocessing.Resizing(IMG_SIZE, IMG_SIZE),  layers.experimental.preprocessing.Rescaling(1./255)])

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tensorflow data augmentation

tensorflow data augmentation

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